Abstract
Nuclear factor κB (NF-κB) is a transcription factor important for regulating innate and adaptive immunity, cellular proliferation, apoptosis, and senescence. Dysregulation of NF-κB and its upstream regulator IκB kinase (IKK) contributes to the pathogenesis of multiple inflammatory and degenerative diseases as well as cancer. An 11–amino acid peptide containing the NF-κB essential modulator (NEMO)-binding domain (NBD) derived from the C-terminus of β subunit of IKK, functions as a highly selective inhibitor of the IKK complex by disrupting the association of IKKβ and the IKKγ subunit NEMO. A structure-based pharmacophore model was developed to identify NBD mimetics by in silico screening. Two optimized lead NBD mimetics, SR12343 and SR12460, inhibited tumor necrosis factor α (TNF-α)- and lipopolysaccharide (LPS)-induced NF-κB activation by blocking the interaction between IKKβ and NEMO and suppressed LPS-induced acute pulmonary inflammation in mice. Chronic treatment of a mouse model of Duchenne muscular dystrophy (DMD) with SR12343 and SR12460 attenuated inflammatory infiltration, necrosis and muscle degeneration, demonstrating that these small-molecule NBD mimetics are potential therapeutics for inflammatory and degenerative diseases.
Author summary
Aberrant up-regulation of the transcription factor nuclear factor κB (NF-κB) and the IκB kinase (IKK) that regulates NF-κB is associated with a variety of inflammatory and degenerative diseases in humans, including aging. Thus, development of effective and specific drugs able to decrease IKK/NF-κB activity has significant therapeutic potential. In this study, a structure-derived computational approach was used to screen for small-molecule inhibitors of the protein–protein interaction between the IKKß and IKKγ subunits of the IKK complex. We identified and developed a novel class of small molecules that selectively inhibit IKK/NF-κB activation by dissociating the IKK complex without affecting c-Jun N-terminal kinase (JNK)/p38-mitogen-activated protein kinase (MAPK) signaling. These novel molecules reduce lipopolysaccharide (LPS)-induced acute inflammation in mice and improve muscle pathology in the mdx mouse model of Duchenne muscular dystrophy (DMD), suggesting that they would have potential clinical utility.
Introduction
Nuclear factor κB (NF-κB) is a transcription factor essential for regulating immune responses, cell proliferation, apoptosis, embryonic development, senescence, and cancer [1]. In mammalian cells, the NF-κB family is composed of 5 subunits, RelA/p65, RelB, C-Rel, p50 (p105/NF-κB1), and p52 (p100/NF-κB2), all containing a Rel-homology domain (RHD) required for homo- or heterodimerization [1]. NF-κB dimers are sequestered in the cytoplasm by an inhibitory protein IκBα, which masks the conserved nuclear localization sequence (NLS) of RelA/p65 to prevent nuclear translocation [1]. Upon stimulation, IκBα undergoes phosphorylation, polyubiquitination, and proteasome-mediated degradation, releasing the NF-κB dimers to enable nuclear translocation [1]. This activated NF-κB down- or up-regulates target gene expression by binding to the κB enhancer or promoter elements [1]. Inducers of NF-κB activity include pro-inflammatory cytokines, such as tumor necrosis factor α (TNF-α), interleukin-1 (IL-1), and lipopolysaccharide (LPS), as well as T-cell receptor (TCR) ligands, genotoxic, and oxidative stress [1].
NF-κB activation is regulated by the IκB kinase (IKK) complex, composed of 2 catalytic subunits, IKKα and IKKβ, and a regulatory subunit NF-κB essential modulator (NEMO)/IKKγ [2–4]. Domains in the C-termini of IKKα and IKKβ, required for interaction with the α-helical region in the N-terminus of NEMO, are termed NEMO-binding domains (NBDs) [5]. An 11–amino acid peptide derived from the NBD domain of IKKβ (amino acids 735–745) can disrupt the association of IKKβ and NEMO and reduce NF-κB activation when fused to a protein transduction domain (PTD) for intracellular delivery [5].
The NBD peptide has strong therapeutic effects in numerous inflammatory and degenerative disease models in mice and other species. Chronic, systemic administration of the NBD peptide attenuates macrophage-mediated muscle necrosis and degeneration in mdx mice, a murine model of Duchenne muscular dystrophy (DMD) as well as in the golden retriever muscular dystrophy (GRMD) canine model of DMD [6–8]. Similarly, the NBD peptide ameliorates active chronic colitis in IL-10-deficient mice without affecting NF-κB basal activity when administered systemically [9]. Intra-articular injection of NBD peptide also attenuates synovial inflammation and the severity of arthritis in a rat model of adjuvant arthritis [10]. It also ameliorates inflammation-induced osteoclastogenesis and arthritis by down-regulating NF-κB target genes, TNF-α, and IL-1β [11]. Systemic delivery of the NBD peptide reduces the severity of Parkinson’s disease by suppressing nigral microglial activation and reducing dopaminergic neuronal loss as well as alleviates nephropathy and atherosclerosis in type 1 diabetic mice [12–14]. In addition, the peptide prevents LPS-induced pulmonary inflammation in sheep and improves pulmonary function in a piglet model of acute respiratory distress syndrome by topical administration [15, 16]. Moreover, clinical testing of the NBD peptide for local treatment of canine diffuse large B cell lymphoma revealed a reduction in the proliferation of malignant B cells [17]. In addition, chronic systemic administration of NBD peptide delays the onset and reduces the severity of multiple aging symptoms and pathology in Ercc1-/Δ mice, a mouse model of human progeria [18].
Despite these strong and varied therapeutic effects of PTD-NBD peptides in animal models, the expense of peptide synthesis, the short half-life of the peptide, and its lack of oral bioavailability limit its clinical use. Thus, development of small molecules that mimic the NBD peptide, targeting the NBD of IKKβ to disrupt its binding to NEMO, would have clinical utility. Here, a structure-based pharmacophore model that mimics these interactions was derived from the crystal structure of the IKK complex, followed by virtual screening using this model against commercially available databases of drug-like molecules. The resulting hits were prioritized using in silico Absorption, Distribution, Metabolism, Excretion, and Toxicity (ADME/Tox) filtering and molecular docking to determine the higher-affinity hits. Using these as starting points, multiple rounds of medicinal chemistry optimization resulted in the discovery of compounds capable of inhibiting LPS- and TNF-α-induced NF-κB activation by disrupting the association between IKKβ and NEMO. Also, these compounds exhibited potent therapeutic effects in murine models of LPS-induced endotoxemia and DMD, suggesting their potential as therapeutic drugs for clinical management of diseases driven by IKK/NF-κB activation.
Results
Generation of a structure-based pharmacophore model using a computational approach based on the conserved interactions between IKKβ and NEMO
Recognition of small molecules by proteins is largely mediated by molecular surface complementarities [19, 20]. Thus, the site of protein–protein interaction between NEMO and IKKβ potentially is a good target for in silico drug screening. To investigate the chemical features essential in the protein–protein interaction, the X-ray structure of the NEMO/IKKβ complex retrieved from the Protein Data Bank (PDB) (ID 3BRV) was used to generate a structure-based pharmacophore (Fig 1A) [21] using the pharmacophore generation module of LigandScout [22, 23]. Each interacting atom from each residue was “translated” into a pharmacophoric feature, resulting in the structure-based pharmacophore (Fig 1B) consisting of 8 features and 13 exclusion volumes, representing important atoms from the protein’s environment.
This pharmacophore model was used to screen a subset of the drug-like ZINC 10.0 database set (approximately 13.5 million compounds) [24]. We identified 161 compounds that matched at least 6 features out of 8 of the pharmacophore model. Twenty hits had a root-mean-square deviation (RMSD) <1 and were further prioritized using ADME/Tox-predicted properties. Three compounds successfully passed these filters (Fig 1C).
Identification of small-molecule inhibitors of NF-κB activation
To determine whether the small molecules identified by the in silico screening inhibit NF-κB activation, a HEK293 cell line stably expressing a luciferase reporter driven by a synthetic, NF-κB-dependent promoter was utilized [25]. To induce NF-κB activation, cells were treated with 10 ng/mL of TNF-α and harvested 3 h post treatment for analysis of luciferase activity. Treatment with ZINC12909780 slightly down-regulated NF-κB activation at a concentration of 100 μM, whereas the luciferase activity remained unchanged in cells treated with ZINC05682974 or ZINC09327678 (Fig 2A). To determine whether ZINC12909780 inhibits NF-κB in a dose-dependent manner, concentrations were tested at 0, 6.25, 25, 50, and 100 μM. Only the high concentrations (50 and 100 μM) of the compound were able to inhibit TNF-α-induced NF-κB activation significantly (Fig 2B) [25].
To identify NBD mimetics with higher biological activity than ZINC12909780 or the NBD peptide, the ZINC 10.0 database (approximately 13.5 million compounds) was screened in silico for structurally similar compounds [26]. Fifteen analogs with a similarity score >90% were identified, and 13 that passed all the ADME/Tox filters were acquired for testing (S1 Table). Four of the compounds—ZINC9642366 (Zinc1), ZINC3369392 (Zinc5), ZINC3269261 (Zinc8), and ZINC3264658 (Zinc9), as well as an IKK active site inhibitor IKKi VII used as a positive control—lowered NF-κB activity robustly, while other analogs had minimal effects (Fig 2C). To rule out the possibility that the reduction observed in luciferase assays was due to drug toxicity, a colorimetric MTT assay using 3-(4,5-dimethylthiazol-2-yl)-2,5-dephenyltetrazolium bromide was performed to assess cell viability. Treatment with ZINC8 resulted in 40% of cell death at 24 h, suggesting that at least part of the reduction in luciferase activity could be attributed to cytotoxicity (Fig 2D). Because ZINC5 displayed potent NF-κB inhibitory efficacy in cell culture with little toxicity (less than 10%), it was tested for dose-dependent inhibition of NF-κB. ZINC5 showed a greater inhibitory effect compared to ZINC12909780 without overt cell toxicity (Fig 2E & 2F).
NBD mimetics inhibit NF-κB DNA binding activity
To confirm that the NBD mimetics reduce IKK kinase activity, phosphorylation of IκBα by IKK in response to 10 ng/ml of TNF-α was measured by western blot at 0, 5, and 10 min after stimulation. ZINC5 reduced the level of p-IκBα following stimulation, while ZINC12909780 led to a less robust reduction (Fig 3A). To determine whether the mimetics also reduce NF-κB DNA binding activity, electrophoretic mobility shift assay (EMSA) was conducted both in vitro and in vivo. ZINC5 and ZINC12909780 were tested in C2C12 cells (a mouse myoblast cell line) at 200 μM and were shown to inhibit TNF-α-induced NF-κB DNA binding activity (Fig 3B). Similarly, a single intraperitoneal (i.p.) injection of either of these 2 small molecules at 10 mg/kg inhibited NF-κB DNA binding activity in quadriceps that is chronically up-regulated in mdx mice (Fig 3C). However, ZINC5 was extremely unstable even in cell culture media containing FBS, while ZINC12909780 was relatively more stable. The addition of acetonitrile increased the stability of both ZINC compounds, especially ZINC 5 (Fig 3D).
Optimization of the NBD mimetics
ZINC5 and ZINC12909780 both contain ester bonds, leading to their rapid degradation in the presence of serum (Fig 3D). To improve bioactivity and stability, structure–activity relationship studies (SARs) were performed, and more than 100 small molecules were synthesized and tested. Four lead NBD mimetics that showed enhanced inhibitory effects, compared to the original ZINC compounds, were identified, including 3 non-esters—SR12343, SR12460, and SR12454—and 1 ester SR11481 (Fig 4A & 4B). These 3 non-esters significantly inhibited TNF-α-mediated NF-κB activation with half maximal inhibitory concentrations (IC50) of 11.34 μM, 20.24 μM, and 37.02 μM, respectively (Table 1, Fig 4B & S1A Fig). The ester SR11481 was not as effective (IC50 45.03 μM), possibly due to the presence of the ester bond (Fig 4B). A renilla luciferase reporter was cotransfected for normalization. To determine whether the inhibitory effect of the mimetics is limited to TNF-α-mediated induction of IKK/NF-κB, LPS-mediated NF-κB activation was examined. NF-κB activity was induced in Raw 264.7 by 1 μg/ml of LPS for 2 h, and the IKKi VII (2 μM) and the 8K-NBD peptide (400 μM) were included as positive controls. Expression of the NF-κB target genes cyclooxygenase 2 (COX-2), IL-6, IL-1β, TNF-α, IκBα, and inducible nitric oxide synthase (iNOS) were determined by quantitative real-time polymerase chain reaction (qRT-PCR) analysis. SR12460 and SR12454, which are more similar in structure than the other 2 mimetics, were able to significantly inhibit the transcription of all NF-κB target genes tested (Fig 4C). SR12343 displayed a similar profile to the 8K-NBD peptide, showing significant inhibition on COX-2, IL-6, and iNOS expression at a much lower concentration (50 μM) compared to NBD peptide (400 μM). SR11481 did not induce a detectable suppression of the NF-κB target genes, likely due to its poor stability. IKKi VII, while able to inhibit most NF-κB target gene expression, failed to down-regulate iNOS expression, which was significantly inhibited by the NBD peptide and all non-ester NBD mimetics. This suggests that IKK inhibitors targeting the ATP-binding pocket likely down-regulate the expression of a slightly different set of NF-κB regulated genes.
Table 1. The IC50 of NBD mimetics.
NBD Mimetics | IC50 (μM) |
---|---|
SR12460 | 11.34 |
SR12454 | 20.24 |
SR12343 | 37.02 |
SR11481 | 45.03 |
Abbreviations: IC50, half maximal inhibitory concentration; NBD, NEMO-binding domain; NEMO, NF-κB essential modulator; NF-κB, nuclear factor κB.
To confirm the qRT-PCR results, the levels of IL-6 production in Raw 264.7 cells activated by LPS were analyzed by ELISA. SR12460 and SR12454 were able to inhibit IL-6 secretion significantly in a dose-dependent manner (Fig 4D). Similarly, SR12343 inhibited IL-6 production, but was not as effective as SR12460 and SR12454, consistent with its higher IC50 in HEK293 cells. Although SR11481 failed to inhibit IL-6 significantly at the mRNA level, there was a significant reduction in the accumulation of IL-6 protein at 24 h. Moreover, SR11481 appears to be more effective at a lower concentration of 25 μM versus 50 μM.
NBD mimetics target the NEMO/IKKß interaction to inhibit NF-κB signaling
To determine whether the novel NBD mimetics target the NEMO-IKKβ interaction in vivo, co-immunoprecipitations were performed using extracts from Raw 264.7 macrophages (Fig 5A). All 4 of the mimetics reduce the IKKβ-NEMO interaction as well as or better than the NBD peptide, with SR12343 being the most effective. SR12343 also reduced the association between NEMO and IKKβ in Raw 264.7 cells in a dose-dependent manner (Fig 5B). No interaction between NEMO and TNF receptor-associated factor 2 (TRAF2) or IκBα was observed under these conditions. Previous studies suggested that the NBD peptide also inhibits the interaction of NEMO with IKKα [27]. However, SR12343 had only a marginal effect on NEMO/IKKα binding only at the highest dose, suggesting that these inhibitors affect the NEMO/IKKα interaction with a much lower efficiency (Fig 5B). To demonstrate that SR12343—which was the most effective mimetic in disrupting the NEMO/IKKβ interaction in vivo—affects the NEMO/IKKβ interaction directly, in vitro glutathione S-transferase (GST) pull-down assays were performed using recombinant GST-NEMO and FLAG-IKKβ. As shown in Fig 5C, SR12343 was able to disrupt the interaction between GST-NEMO and FLAG-IKKβ even at a dose of 12.5 μM. To demonstrate that the reduction of NF-κB-mediated transcription upon stimulation of TNF-α and LPS (Fig 4) is not due to off-target effects, the activation of NF-κB signaling and mitogen-activated protein kinase (MAPK) pathways was examined by western blot analysis. The levels of phosphorylated IKK complex, IκBα, and p65 in response to TNF-α and LPS were all reduced by SR12343 (Fig 5D & 5E). Consistently, the degradation of IκBα was partially reduced (Fig 5D & 5E). However, there were no changes in the levels of phospho-c-Jun N-terminal kinase (p-JNK), p-p38MAPK, total JNK, and p38MAPK by treatment with SR12343 (150 μM) in response to TNF-α or LPS stimulation (Fig 5G & 5H). These results suggest that the observed inhibitory effects of SR12343 are mediated directly through IKK/NF-κB but not due to off-target effects such as through the JNK or p38MAPK pathways. SR12343 treatment also had no effect on the activation of noncanonical NF-κB pathway by anti-lymphotoxin β receptor (LTβR) as shown by unaltered processing from p100 to p52 (Fig 5F).
Novel NBD mimetics suppress LPS-induced acute pulmonary inflammation in vivo
To determine the stability of the NBD mimetics in vivo, their levels were measured in the plasma of mice 2 h post i.p. injection with 10 mg/kg of each compound. The concentration of SR12460 was very high in plasma (>6.5 μg/mL; 20 μM), while levels in brain, muscle, spleen, and liver were lower. SR12343 and SR12454 had lower plasma concentrations, with SR12343 showing a higher level in liver and SR12454 showing higher concentrations in muscle and spleen. The level of SR11481 was undetectable in plasma and tissues (Fig 6A). Because SR12454 and SR12460 share similar chemical structures and SR11481 demonstrates poor in vivo exposure, SR12460 and SR12343 were selected for further in vivo analysis. However, it is important to note that SR12343 was not as orally active as SR123460 (S1B Fig).
To determine their NF-κB inhibitory effects in vivo, SR12343 and SR12460 were tested in an acute model of LPS-induced systemic endotoxemia. C57BL/6J mice were pretreated with vehicle control, 8K-NBD peptide, or NBD mimetics at 10 mg/kg for 30 min, followed by LPS induction at 10 mg/kg (Fig 6B). Lung and liver were harvested 2–4 h post treatment for qRT-PCR analysis of NF-κB target genes. SR12343 was able to significantly inhibit NF-κB transcriptional activity in lung, demonstrated by the inhibition of iNOS, IκBα, COX-2, and IL-6, while expression of TNF-α was unchanged (Fig 6C). The NF-κB inhibitory effects of the compounds were less effective in liver compared to lung, demonstrated by significant inhibition of only COX-2 expression (Fig 6C). Despite lower plasma and tissue concentrations of SR12343 compared to SR12460, its inhibition of NF-κB/IKK in liver and lung were greater than that of SR12460 (Fig 6C). Similarly, acute treatment with SR12343 also affected the LPS-induced expression of NF-κB target genes at protein level. The extent of phosphorylation of IκBα and the levels of COX-2 were reduced in lung and liver tissues treated with SR12343 (Fig 6D and 6E). Serum levels of IL-6 detected by ELISA increased significantly following LPS induction and were reduced by acute treatment with SR12343 (Fig 6F). These results are consistent with our RT-PCR analysis shown in Fig 6C. However, no significant differences in lung histopathology were observed. Finally, there was a slight reduction in the number of white blood cells and neutrophils in the SR12343-treated group (Table 2). Taken together, the results demonstrate that SR12343 and SR12460 are effective at attenuating LPS-induced acute lung inflammation by suppressing NF-κB target gene expression.
Table 2. Hematological measures in acutely treated mice.
Parameters | Units | Vehicle (mean ± SD) |
LPS (mean ± SD) |
SR12343 (mean ± SD) |
---|---|---|---|---|
Leukocytes | ||||
White blood cells | K/μL | 6.9 ± 5.3 | 7.9 ± 4.6 | 7.4 ± 3.3 |
Neutrophils | K/μL | 1.8 ± 2.1 | 2.3 ± 1.5 | 2.1 ± 1.3 |
Lymphocytes | K/μL | 3.8 ± 2.2 | 4.4 ± 2.4 | 4.0 ± 1.3 |
Monocytes | K/μL | 0.8 ± 0.4 | 0.5 ± 0.3 | 0.5 ± 0.2 |
Eosinophils | K/μL | 0.3 ± 0.5 | 0.5 ± 0.3 | 0.6 ± 0.4 |
Basophils | K/μL | 0.1 ± 0.1 | 0.2 ± 0.1 | 0.2 ± 0.2 |
Neutrophils | % | 21.5 ± 9.9 | 27.7 ± 4.6 | 26.3 ± 8.0 |
Lymphocytes | % | 60.8 ± 11.7 | 56.6 ± 5.6 | 57.7 ± 14.2 |
Monocytes | % | 12.9 ± 3.5 | 6.3 ± 0.9 | 6.0 ± 0.7 |
Eosinophils | % | 3.4 ± 2.8 | 6.9 ± 1.7 | 7.3 ± 3.7 |
Basophils | % | 1.4 ± 0.8 | 2.5 ± 1.5 | 2.7 ± 2.0 |
Erythrocytes | ||||
Red blood cells | M/μL | 9.9 ± 1.1 | 10.6 ± 0.6 | 10.4 ± 0.3 |
Hemoglobin | g/dL | 14.7 ± 0.8 | 15.2 ± 0.4 | 15.3 ± 0.4 |
Hematocrit | % | 49.0 ± 2.2 | 52.3 ± 3.3 | 53.0 ± 1.5 |
Mean corpuscular volume | fL | 49.7 ± 3.3 | 49.5 ± 0.9 | 51.2 ± 1.0 |
Mean corpuscular hemoglobin | pg | 14.9 ± 0.8 | 14.4 ± 0.5 | 14.8 ± 0.2 |
Mean corpuscular hemoglobin concentration | g/dL | 30.1 ± 0.4 | 29.2 ± 1.2 | 28.9 ± 0.2 |
Red cell distribution width | % | 16.1 ± 1.1 | 16.0 ± 0.9 | 15.0 ± 0.2 |
Thrombocytes | ||||
Platelets | K/μL | 126.3 ± 58.8 | 133.7 ± 127.0 | 170.7 ± 64.0 |
Mean platelet volume | fL | 5.8 ± 0.7 | 5.2 ± 0.4 | 5.7 ± 0.8 |
Abbreviations: LPS, lipopolysaccharide; SD, standard deviation.
Novel NBD mimetics alleviate necrosis and muscle degeneration in mdx mice
Because SR12343 and SR12460 both reduced LPS-induced NF-κB activation in vivo, they were further tested in mdx mice, a mouse model of DMD in which NF-κB is chronically activated [28]. Mdx mice develop normally at birth and undergo a massive myonecrosis starting at 3 wk. Treatment of mdx mice with IKK/NF-κB inhibitors effectively reduces inflammation, blocks necrosis, and increases muscle regeneration. Initially, the effect of acute treatment of SR12343 on NF-κB DNA binding activity in tibialis anterior (TA) muscle in 9-wk-old mdx mice was examined by EMSA. Treatment with a single injection of 30 mg/kg of SR12343 resulted in a reduction in NF-κB DNA binding 2 h post injection (S4C Fig). Subsequently, Mdx mice were chronically treated with vehicle, SR12343 (30 mg/kg), SR12460 (30 mg/kg), or 8K-NBD (10 mg/kg) starting from day 21, 3 times/wk for 4 wk, similar to the dosing regimen used with the NBD peptide (Fig 7A) [7]. No significant weight loss was observed in chronically treated mdx mice (S3A Fig). In addition, there was no increase in levels of aspartate aminotransferase (AST), alanine aminotransferase (ALT), or alkaline phosphatase (ALP) in chronically treated mdx mice (S3B Fig), suggesting that treatment with SR12343 and SR12460 had no overt liver toxicity.
To determine whether SR12343 and SR12460 improve muscle pathology, TA muscle was stained with hematoxylin–eosin to assess inflammatory infiltration, necrosis, central nucleation, and fibrosis. Vehicle-treated TA muscles exhibited extensive infiltration and necrosis as reflected by clusters of inflammatory cells, disorganized myofibers, and nonuniform staining, with limited muscle regeneration. Consistent with previous studies, 8K-NBD peptide treatment reduced inflammatory cell infiltration and necrosis as shown in Fig 7B & 7C, while not significantly affecting the percentage of centralized myonuclei (S4A Fig) [29, 30]. SR12343 treatment led to the most significant pathological improvement, represented by limited infiltration and enhanced muscle reconstruction (Fig 7B & 7C and S4B Fig). Similarly, SR12460 treatment improved muscle pathology, although not as effectively as SR12343. In addition, Masson trichrome stain was conducted to further measure muscle fibrosis. Chronic treatment with SR12343 reduced muscle fibrosis (blue) in diaphragm and TA muscle tissues in comparison to control group (Fig 8A & 8B). To further quantitate the extent of inflammation in mdx muscle tissues, diaphragm and TA muscle were immunostained for cluster of differentiation 68 (CD68), a macrophage marker. Treatment with SR12343 reduced the number of CD68+ cells by almost 50% per myofiber in both diaphragm and TA tissues (Fig 8A & 8B). Notably, there is a higher level of macrophage infiltration in diaphragm in comparison to TA, as reflected by a greater number of CD68+ cells per myofiber. This result is consistent with the Trichrome stain in which the diaphragm exhibited more severe muscle fibrosis compared to TA. Moreover, qRT-PCR analysis revealed significant improvement of myofiber regeneration in SR12343-treated TA muscle relative to vehicle controls, evidenced by increased expression of embryonic myosin heavy chain (eMyHC) as well as paired box protein 7 (Pax7), a marker of skeletal muscle satellite cells (Fig 7D). SR12460 and the 8K-NBD peptide also increased eMyHC expression, but to a lesser extent than SR12343. To quantify the average fiber size in an unbiased way, TA muscle was stained with laminin to outline myofibers, and Feret diameter of all myocytes was quantitated in a whole muscle section. Fiber size of centrally and noncentrally nucleated myofibers was smaller in mice treated with SR12343 and the 8K-NBD peptide, suggesting an active reconstruction of myofibers during the regenerative phase (Fig 7E & 7F).
To determine whether the NBD mimetics improved muscle strength, grip strength was measured 2 wk and 4 wk post treatment to assess forelimb strength (Fig 7G). Compared to vehicle group, SR12343 significantly improved forelimb strength after 2 wk of treatment, indicating rapid muscle repair. All treatment groups, compared to control, displayed significantly strengthened forelimb strength 4 wk post treatment (Fig 7G). Collectively, the 2 lead compounds—SR12460 and, in particular, SR12343—markedly improved muscle function and muscular pathology in mdx mice.
Discussion
The NBD peptide derived from the NBD in IKKβ is highly therapeutic in numerous mouse and canine models of inflammatory and degenerative diseases [6–9, 12, 13, 17, 18]. In fact, the NBD peptide is far more effective as a therapeutic than small-molecule inhibitors of the active site of IKKβ kinase. However, synthesis of the NBD peptide on a large scale can be problematic and extremely expensive, which impedes its clinical utility in humans, for whom a larger dose is needed compared to rodents and dogs. Also, the NBD peptide is not orally active. Thus, the development of small-molecule NBD mimetics represents a significant advance towards clinical translation of this established molecular target. Here, we identified and optimized several novel NBD mimetics that selectively inhibited IKK/NF-κB activation. The 2 lead compounds, SR12343 and SR12460, inhibited both TNF-α- and LPS-induced NF-κB activation more efficiently and at a lower concentration than the NBD peptide in both HEK293 and Raw 264.7 cells.
To identify the NBD mimetics, a computational screening campaign based on the pharmacophore model was used [21]. This structure-based pharmacophore model used has been utilized successfully to identify small-molecule inhibitors of p53 up-regulated modulator of apoptosis (PUMA) targeting its binding with B cell lymphoma 2 (Bcl-2) family members through the BH3 domain [31]. A crystal structure study of the NBD-IKKβ interaction demonstrated that amino acid residues W741, W739, and F734 are essential IKKβ hydrophobic motifs for dynamically interacting with NEMO [21]. Furthermore, a comprehensive analysis of binding energy hot spots revealed 3 regions critical for the protein–protein interaction interface between NEMO and IKKβ: the documented NBD regions (W739, W741, and L742) and 2 novel hot spot regions centered on IKKβ residues L708/V709 and L719/I723 [32]. Consistently, a mutated 11-mer NBD peptide (735–745)—with substitutions of arginine for W741 and W739—was unable to bind to NEMO [27]. A longer IKKβ-derived peptide (701–746) containing all 3 residues and domains exhibited the strongest affinity to NEMO, with IC50 around 10 nM, compared to the traditional 11-mer NBD peptide that was less potent, with IC50 around 100 μM [21, 32–34].
To identify NBD mimetics with greater bioactivity, F734 not contained within the 11–amino acid NBD peptide was included in our pharmacophore model and in silico screening. The novel NBD mimetics identified and optimized were able to inhibit NF-κB activity in a dose-dependent manner (IC50 approximately 10–40 μM) and were more potent than the 11-mer NBD peptide [21, 33]. These results are consistent with other results suggesting that, although IKKβ737–742 is the core component essential for IKK complex formation, the larger region spanning IKKβ701–746 enhances the binding affinity between IKKβ and NEMO [32, 34, 35].
The identified and optimized NBD mimetic SR12343 was able to dissociate the NEMO/IKKβ complexes both in vitro and in vivo (Fig 5), consistent with previous reports that NBD peptide blocks the association of preformed IKK complexes in inactive state [27, 33]. Also, although the NBD peptide has been reported to block interaction of NEMO with IKKα and reduce IL-1-induced, IKKα-dependent NF-κB activation in mouse embryonic fibroblasts (MEFs) [27, 36], SR12343 disrupted the binding of NEMO and IKKα much less effectively. This specificity for NEMO/IKKβ could be due to the fact that there is a methionine in IKKα at position 734 instead of a phenylalanine, while F734 along with W739 and W741 was included for the generation of the pharmocophore model. Our results also demonstrated that the SR12343 suppressed TNF-α- and LPS-induced NF-κB activity by inhibiting the phosphorylation of IKK, IκBα, and p65 while not affecting JNK and p38MAPK signaling (Fig 5). It appears that SR12343 has a more substantial inhibition in LPS-induced NF-κB activation in comparison to TNF-α stimulation. This is possibly due to a stronger secondary NF-κB activation upon TNF-α stimulation by up-regulating the expression of multiple pro-inflammatory factors. MAPK signaling can be stimulated by similar pro-inflammatory factors, such as TNF-α and LPS, increasing expression of pro-inflammatory genes via AP-1 and NFAT [1, 37]. In addition, SR12343 did not affect the noncanonical NF-κB pathway signaling through the LTβR (Fig 5F).
NBD mimetics inhibited a unique subset of target genes compared to IKK kinase inhibitors, particularly iNOS both in vitro and in vivo. The expression of iNOS in response to LPS can be down-regulated 6-fold in Raw 264.7 cells and by 50% in both lung and liver, by the treatment of mice with NBD mimetics. iNOS is involved in arginine metabolism, leading to the production of citrulline and nitric oxide (NO), the latter of which—acting as a free radical—promotes cytotoxicity and tissue injury [38]. iNOS-null mdx mice have significantly reduced macrophage cytolysis and decreased myofiber injury at both acute, necrotic phase (4 wk) and regenerative phase (6–12 wk), suggesting a critical role of NO-mediated myonecrosis in the pathology of mdx mice [38]. We demonstrated a reduction in necrosis, fibrosis, and inflammatory infiltration in both the diaphragm and TA muscle in treated mdx mice—in particular, SR12343-treated mdx mice—compared to controls. Also, similar to mdx mice treated with NBD peptide, treatment with the NBD mimetics—SR12343, in particular—resulted in increased myogenesis as shown by higher expression of eMyHC and Pax7 and the smaller size of centrally nucleated fibers (Fig 6). This is consistent with the observed ability of NF-κB to regulate cell differentiation via its transcriptional regulation of cyclin D1 [39]. Taken together, our results suggest that small-molecule NBD mimetics can simultaneously inhibit pro-inflammatory responses, reduce macrophage cytotoxicity, and improve muscle degeneration, with an even greater efficacy than NBD peptide. No overt signs of liver toxicity from the chronically treated mice were observed, based on serum clinical chemistries.
We previously demonstrated that chronic treatment of the Ercc1−/Δ mouse model of accelerated aging with the NBD peptide delayed the onset of numerous age-related symptoms, improved pathology, and reduced cellular senescence. Similar to the NBD peptide, preliminary experiments suggest that chronic treatment of Ercc1−/Δ mice with SR12343 resulted in an extended health span. Thus, these novel NBD mimetics could be used not only for treatment of inflammatory and degenerative diseases but also for aging.
Collectively, our data demonstrate that the novel small-molecule NBD mimetics are potent and highly selective IKK inhibitors that act by disrupting the association of IKK complexes. They exhibit significant inhibitory effects on NF-κB activation in the model of LPS-induced acute lung injury (ALI) and the murine model of DMD (mdx mice), suggesting the potential of NBD mimetics to become a distinct class of anti-inflammatory drugs. Taken together, NBD mimetics may provide therapeutic value for the chronic management of inflammatory diseases and cancers in the future.
Methods
Ethics statement
The animal studies were reviewed and approved by the Scripps Florida Institutional Animal Care and Use Committee (protocols #15–017 and 15–020) and were in compliance with the U. S. HHS Guide for the Care and Use of Laboratory Animals. The day-to-day care of animals was managed by the Scripps Florida Animal Research Center. Scripps Florida has an Animal Welfare Assurance on file with the Office of Laboratory Animal Welfare (OLAW), National Institutes of Health. The assurance number is #A4460-01, effective January 30, 2009. Scripps Florida’s registration under USDA regulations is certificate 93-R0015, effective December 5, 2005. The Association and Accreditation of Laboratory Animal Care International (AAALAC) awarded Scripps Florida full accreditation on June 25, 2008, and continuation was awarded on November 9, 2011. Mice were euthanized at 7 wk of age by carbon dioxide inhalation.
Cells and mice
HEK293 cells and MEFs were grown in Dulbecco’s Modified Eagle Medium (with 4.5 g/L glucose and L-glutamine), supplemented with 10% fetal bovine serum, penicillin, and streptomycin. Raw 264.7 cells were cultured in RPMI-1640 media containing 10% heat-inactivated fetal bovine serum, penicillin, and streptomycin. C57BL/10ScSn-Dmdmdx/J and female C57BL/6 mice were purchased from the Jackson Laboratory. Mice were housed in the animal facilities of Scripps Florida under constant temperature and humidity. Animal protocols used in this study were approved by Scripps Florida Institutional Animal Care and Use Committee. Three-wk-old sex-matched mdx mice were dosed with SR12343 (30 mg/kg), SR12460 (30 mg/kg), 8K-NBD peptide (10 mg/kg), or vehicle by i.p. injection 3 times per wk for 4 wk. Mice were euthanized at 7 wk of age by carbon dioxide inhalation, and TA muscle was collected for histological analysis.
8K-NBD peptide and small molecules
8K-NBD (KKKKKKKKGGTALDWSWLQTE) peptide was synthesized at the peptide core facility of the University of Pittsburgh. For i.p. injections, the peptide was dissolved in 10% DMSO in PBS. The NBD mimetics were formulated in 10:10:80 of DMSO:Tween 80:Water for in vivo administration. ZINC small molecules were purchased from Enamine. All stock solutions for in vitro experiments were prepared in DMSO at 40 μM.
LPS-induced acute lung inflammation
LPS (strain O111:B4) was prepared in PBS at a sublethal dose of 10 mg/kg. Female WT mice 8 to 10 wk old (20–30 g) were dosed by i.p. injection with vehicle, NBD peptide (10 mg/kg), or small molecules (10 mg/kg) for 30 min, followed by i.p. injection of saline (1 mL/kg) or LPS (10 mg/kg). Mice were euthanized 2 to 4 h post treatment, and lung and liver tissues were collected for further analysis.
Functional grip strength analysis
Seven-wk-old treated or untreated mdx mice were measured for forelimb grip strength by using a digital grip strength meter paired with a metal grid (Bioseb, Vitrolles, France). Mice were allowed to grip the metal grid tightly, and readings were obtained by gently pulling the tail backward until release. Five sequential measurements were performed, and the average force was calculated.
Firefly luciferase assay
HEK293 cells stably transfected with luciferase reporter plasmid driven by NF-κB were seeded in 96-well plates in triplicate and pretreated with DMSO or varying small molecules at indicated concentration for 30 min, followed by the stimulation of 10 ng/ml of TNF-α for 3 h [25]. Cells were washed with PBS once and harvested in Passive Lysis Buffer (Promega, Madison, WI). Luciferase assay (Promega) was performed by using a luminometer according to the manufacturer’s instructions.
Dual-luciferase reporter assay
HEK293 cells grown in 10 cm plates were cotransfected with a coreporter of a Renilla plasmid driven by SV40 (Promega) and a firefly luciferase plasmid driven by NF-κB at the ratio of 1:3 with Lipofectamine 2000 (Invitrogen, Carlsbad, CA). Transiently transfected HEK293 cells were grown and treated as described above and subjected to a dual-luciferase reporter assay according to the manufacturer’s instruction. Briefly, NF-κB firefly luciferase and Renilla luciferase activity were detected sequentially. The relative luciferase activity was calculated by normalizing NF-κB luciferase to Renilla luciferase activity.
MTT assay
HEK293 cells were grown in a 96-well plate at 3 × 104 cells/well in triplicate and treated with DMSO or listed small molecules at indicated concentrations for 24 h. Cell survival was determined by adding 20 μl of 5 mg/ml MTT (thiazolyl blue tetrazolium bromide) to each well, followed by incubation in 37 °C for 3 h. Media were removed, and purple formazan was dissolved in 100 uL of DMSO. Absorbance was measured at 590 nm on a microplate reader (PerkinElmer, Waltham, MA). Cell viability was calculated by normalizing values to untreated controls.
Western blotting
Cell lysate was prepared in RIPA buffer (20 mM Tris-HCl [pH 7.5], 150 mM NaCl, 1 mM Na2EDTA, 1 mM EGTA, 1% NP-40, 1% sodium deoxycholate, 2.5 mM sodium pyrophosphate, 1 mM beta-glycerophosphate, 1 mM Na3VO4, and 1 μg/ml leupeptin), supplemented with 1X protease inhibitor cocktails (MilliporeSigma, St. Louis, MO) and 1X Halt phosphatase inhibitor cocktail (ThermoFisher, Waltham, MA). Protein concentrations were determined by Lowry protein assays, and 30 μg of protein was resolved by MINI-PROTEAN TGX 4%–15% SDS-PAGE gels. Blots were incubated in primary antibodies overnight at 4 °C and secondary antibodies at room temperature for 1 h. Reagents and antibodies used are as follows: recombinant murine TNF-α (10 ng/mL; PeproTech #315-01A), LPS from Escherichia coli, serotype O111:B4 (1 μg/mL; Enzo #ALX-581-012-L001), recombinant murine IL-1α (0.5 ng/mL; PeproTech #211-11A), anti-LTβR antibody (1:300; Abcam #ab65089), anti-p-IκBα (1:1000; CST), IκBα (C-21) antibody (1:1000; #sc-371), p-IKKα/β (Ser176/180) antibody (1:500; CST #2697), IKKα antibody (1:1000; CST #2682), anti-IKKβ (1:1000; CST #8943), p-p65 (Ser536) (93H1) antibody (1:2000; CST #3033), p65 (D14E12) antibody (1:5000; CST #8242), p100/p52 antibody (1:500; CST #4882), p-TAK1 (Thr184/187) antibody (1:500; CST #4508), and anti-GAPDH (1:5000; CST #5174).
Co-immunoprecipitation of endogenous IKKβ and NEMO
Raw 264.7 cells were seeded at 1 × 106 cells/well in 6-well plates or 6 × 106 cells/10 cm plate and pretreated with vehicle, small-molecule inhibitors, or NBD peptide for 30 min. Cells lysates were harvested in NP-40 lysis buffer supplemented with 1X protease inhibitor cocktails (Sigma). Proteins were immunoprecipitated by incubating 150 μg of lysates (1 μg/μl) with 10 μl of agarose-conjugated NEMO (FL-419) antibody (sc-8330 AC, Santa Cruz, Dallas, TX) on a rotary shaker at 4 °C for 4 h. Alternatively, we incubated 500 μg protein lysates with 10 to 15 μl of NEMO (FL-419) antibody (Santa Cruz) for 2 h at 4 °C, then added 50 μl Dynabeads (ThermoFisher) to the Ab-Ag complex and incubated on a rotator for 1 h at 4 °C. Ag-Ab-Bead complex was then washed with NP-40 buffer 3 times and PBS once. Protein was then denatured in SDS-sample buffer and resolved by MINI-PROTEAN TGX 4%–15% SDS-PAGE. Ten percent of cell lysates were probed as input controls for co-immunoprecipitation. Antibodies used are as follows: anti-IKKβ (1:1000; CST #8943), anti-NEMO (1:1000; CST #2685), TRAF2 (C192) antibody (1:1000; CST #4724), IKKα antibody (1:1000; CST #2682), and IκBα (C-21) antibody (1:1000; #sc-371).
IKKβ-NEMO binding assay
Recombinant full-length NEMO tagged with GST at the N-terminus (SignalChem, Richmond, British Columbia, Canada) at 15 nM were preincubated with inhibitors for 15 min at RT, followed by incubation with 15 nM of recombinant full-length IKKβ tagged with FLAG at the C-terminus (Origene) for 30 min at 30 °C. TNT buffer (50 nM Tris [pH 7.5], 200 mM NaCl, 1% Triton X-100, and 1 mM DTT [pH 7.4]) was used as binding and washing buffer. Binding products were then incubated with 25 μl of glutathione agarose beads (ThermoFisher) for 1 h at 4 °C on a rotator. Final products were washed extensively with TNT buffer 4 times before the addition of sample buffer. Samples were then resolved by SDS-PAGE gels. Antibodies used are as follows: GST antibody (B-14) HRP (1:3000; #sc-138 HRP) and monoclonal anti-FLAG M2 antibody (1:2000; Sigma-Aldrich, F3165).
EMSA
Cytoplasmic and nuclear fractions were extracted using the NE-PER nuclear and cytoplasmic extraction reagents (ThermoFisher) according to the manufacturer’s instructions. The gel shift assay was performed by following the previously described method [39]. In brief, 5 ug nuclear extract was incubated with 5X gel shift binding buffer for 10 min at room temperature (Promega). Next, an alpha-32P-deoxycytodine triphosphate-radiolabeled probe containing the consensus NF-κB binding sequence, at a concentration of 200,000 cpm/μL, was added to the reaction mix and incubated for 20 min at room temperature (MP Biomedicals, Santa Ana, CA). The reaction product was separated on a 6% nondenaturing polyacrylamide gel, prior to autoradiographic imaging. The oligonucleotide sequences are as follows: NF-κB template oligo, 5′-CAGGGCTGGGGATTCCCCATCTCCACAGTTTCACTTC-3′; NF-κB annealing oligo, 5′-GAAGTGAAACTGTGG-3′ (Integrated DNA Technologies, Coralville, IA).
qRT-PCR
Snap-frozen tissues were preserved in RNAlater RNA stabilization solution (ThermoFisher). Total RNA was extracted from cells or tissues by using TRIZOL reagent (Life Technologies), and 1,500 ng of mRNA was subjected to synthesis of cDNA using SuperScript VILO cDNA synthesis kit. qRT-PCR was performed in a StepOnePlus Real-Time PCR system using Platinum SYBR Green qPCR SuperMix-UDG (ThermoFisher). Target gene expression was calculated using the comparative CT method (ΔΔCT) by normalizing to an internal control gene Actb (β-actin). Primers used are as follows: Ptgs2 (COX-2) forward: ACTCATAGGAGAGACTATCAAG; Ptgs2 (COX-2) reverse: GAGTGTGTTGAATTCAGAGG; Nfkbia (IκBα) forward: CAGAATTCACAGAGGATGAG; Nfkbia (IκBα) reverse: CATTCTTTTTGCCACTTTCC; Il1b (IL-1β) forward: GGATGATGATGATAACCTGC; Il1b (IL-1β) reverse: CATGGAGAATATCACTTGTTGG; Nos2 (iNOS) forward: TGAAATCCCTCCTGATCTTG; Nos2 (iNOS) reverse: CCATGTACCAACCATTGAAG; Tnf (TNF) forward: CTATGTCTCAGCCTCTTCTC; Tnf (TNF) reverse: CATTTGGGAACTTCTCATCC; Il6 (IL-6) forward: AAGAAATGATGGATGCTACC; Il6 (IL-6) reverse: GAGTTTCTGTATCTCTCTGAAG. Actb (β-actin) forward: GATGTATGAAGGCTTTGGTC; Actb (β-actin) reverse: TGTGCACTTTTATTGGTCTC.
Enzyme-linked immunosorbent assay
Raw 264.7 cells were grown in 96-well plates and pretreated with vehicle, IKKi VII (2 μM), and small molecules (at indicated concentration) for 1 h, followed by the stimulation with 1 μg/ml of LPS. Supernatant was collected 24 h later for ELISA analysis. IL-6 concentration was measured using a mouse IL-6 ELISA kit (BD) according to the manufacturer’s instructions.
The levels of TNF-α and IL-6 in mouse serum were detected using the Mouse TNF-α ELISA Kit (BD Biosciences, Franklin Lakes, NJ) and Mouse IL-6 ELISA Kit (BD Biosciences) per manufacturer’s specifications. The absorbance was quantified at 450 nm using a Spectramax i3 (Molecular Devices, San Jose, CA) plate reader. All standards and samples were measured in duplicate.
Hematoxylin–eosin staining
Tissues fixed in 10% neutral buffered formalin (NBF) overnight were embedded in paraffin. Tissue was sectioned at 5 μm using a microtome. Hematoxylin–eosin staining was conducted following a standard protocol [30].
Masson trichrome stain
Masson trichrome stain was performed with the Masson Modified IMEB Trichrome staining kit (IMEB, San Marcos, CA), as instructed by the manufacturer’s protocol, which stains collagen blue, muscle fibers red, and nuclei black. Briefly, the frozen tissue sections were fixed with 10% formalin and subsequently incubated in iodine solution, hematoxylin solution, Biebert’s Scarlet Acid Fuschin solution, Phospotungistic Phosphomolybdic Acid Solution, and Aniline Blue Stain Solution. Slides were then rinsed, dehydrated, and mounted for imaging.
Muscle immunohistochemistry and quantification
To ensure rigorous quantitation of average fiber size, TA muscle was stained with laminin to outline myofibers. Using NIS Elements (Nikon, Melville, NY) analysis software, the laminin signal was corrected for background and underwent signal homogenization and structure amplification by utilizing a local contrast and kernel-based smoothing algorithm. Muscle fibers were defined by applying a uniform binary mask to the negative space of the laminin image, then segmented with the use of a Boolean operator to isolate only negative space overlapping with the total tissue area present in the image. Nuclei defined by Hoechst labeling (Sigma bisBenzimide H 33258) was defined using a uniform binary mask, and segmentation was performed with a watershed algorithm. Centrally nucleated fibers were determined by first eroding the binary mask of the muscle fibers so that only the central portion of each fiber was present. A Boolean operator was used to determine whether the eroded fibers overlapped with the nuclear-associated mask, and if so, they were considered to be centrally nucleated. Using the original muscle fiber mask, Feret diameters for centrally nucleated and noncentrally nucleated fibers were then measured.
The frozen tissue sections were fixed with 4% paraformaldehyde for 1 h and incubated with 1% BSA for blocking. The primary antibodies CD68 (Abcam, Cambridge, MA) and utrophin (Santa Cruz) were applied at 1:200 for 2 h. The secondary antibodies Alexa Fluor 594 and Alexa Fluor 488 were then applied at 1:400 for 1 h. DAPI (1;1000) solution was used to stain the cell nucleus. All the processes were performed at room temperature.
Hematological and serum biochemical analysis
Nine mice (male; C57BL/6, 9–13 wk) were randomly divided into 3 groups with 3 mice in each group. Mice were injected i.p. with vehicle (DMSO:Tween80:H2O, 10:10:80) or small-molecule SR12343 (30 mg/kg) for 30 min and then injected i.p. with saline (1 ml/kg) or LPS (10 mg/kg in saline). After 2 h, mice were euthanized by CO2 asphyxiation prior to blood sampling via cardiac puncture. The blood from each mouse was put into 2 collection tubes with coagulant or anticoagulant heparin (approximately 0.6 mL each). The samples in the tubes coated with the anticoagulant heparin were hand-mixed several times and placed on wet ice for hematological analysis using an automatic hematology analyzer (Hemavet 950FS; Drew Scientific, Miami Lakes, FL). Samples in tubes containing no anticoagulant were allowed to clot before centrifugation and submission for serum biochemical analysis using the VetScan VS2 Analyzer with the Comprehensive Diagnostic Profile reagent rotor (Abaxis, Union City, CA). The ALT, AST, and ALT activities in the serum were quantitated by a colorimetric, enzymatic method using the Clinical Chemistry Analyzer Cobas c311 (Roche Diagnostics, Risch-Rotkreuz, Switzerland) as per the manufacturer’s instructions.
Pharmacokinetics study
The pharmacokinetic profile of the NBD mimetics was determined in male C57BL/6J mice (n = 3). The drugs were formulated in 10:10:80 of DMSO:Tween 80:water and were dosed by i.p. injection at a final dose of 10 mg/kg. Blood, brain, muscle, spleen, and liver were collected 2 h post treatment and were analyzed by mass spectrometry by following a protocol previously described [40].
Pharmacophore model generation
X-ray structure of the complex NEMO/IKKβ retrieved from the PDB (ID 3BRV) was used to generate a structure-based pharmacophore model [21]. The three-dimensional (3D) pharmacophore model was created with LigandScout [22, 23] and was based on interactions that define the protein–protein interaction, such as hydrophobic interactions, hydrogen bonding, and electrostatic interactions. Features identified by the LigandScout software are those that take into consideration chemical functionality but not strict structural topology or definite functional groups. As a result, completely new potential pharmacons can be identified through database screening. Moreover, to increase the selectivity, the LigandScout model includes spatial information regarding areas inaccessible to any potential ligand, thus reflecting possible steric restrictions. In particular, excluded volume spheres placed in positions that are sterically not allowed are automatically added to the generated pharmacophore model. In this way, the structure-derived pharmacophore model contains the pharmacophore elements of the candidate ligands in response to the protein’s active site environment [41].
Similarity search
Recognition of small molecules by proteins is largely mediated by molecular surface complementarities. Structure-based drug design approaches use this as the fundamental guiding principle; that is, closely related molecules will elicit similar activity in a biological assay [42, 43]. The morphological similarity is a similarity technique dependent only on surface shape and charge characteristics of ligands [44]. Morphological similarity is defined as a Gaussian function of the differences in the molecular surface distances of 2 molecules at weighted observation points on a uniform grid. The computed surface distances include both distances to the nearest atomic surface and distances to donor and acceptor surfaces. This function is dependent on the relative alignment of the molecules, and consequently their alignment and conformation must be optimized. The conformational optimization problem is solved by fragmentation, conformational search, alignment, and scoring, followed by incremental reconstruction from high-scoring aligned fragments. The alignment problem is addressed by exploiting the fact that 2 unaligned molecules or molecular fragments that have some degree of similarity will have some corresponding set of observers that are seeing the same things. Optimization of the similarity of 2 unaligned molecules or molecular fragments is performed by finding similar sets of observers of each molecule that form triangles of the same size [41, 44].
In silico ADME/Tox screening
Computational modeling tools were used to estimate the bioavailability, aqueous solubility, blood brain barrier potential, human intestinal absorption, the cytochrome P450 (i.e., CYP2D6) enzyme inhibition potential, mutagenicity, and hERG inhibition of the hits obtained from the database screening. The bioavailability, aqueous solubility, and human intestinal absorption were estimated using the ACD/ADME Boxes software (ACD Labs, Toronto, Canada; http://www.acdlabs.com), while mutagenicity, hERG, and CYP2D6 inhibition were estimated with ACD/Tox screening (ACD Labs, Toronto, Canada; http://www.acdlabs.com).
Statistical analysis
All values were presented as mean +/− SEM or mean +/− SD. Microsoft Excel and Graphpad Prism 6 were used for statistical analysis. Two-tailed Student t test was performed to determine differences between 2 groups. When comparing differences in more than 2 groups, 1-way ANOVA (Dunnett test) was conducted. A value of P < 0.05 was considered statistically significant, shown as “*” for P <0.05, “**” for P <0.01, and “***” for P < 0.001.
Supporting information
Abbreviations
- 3D
three-dimensional
- ADME/Tox
Absorption, Distribution, Metabolism, Excretion, and Toxicity
- ALI
acute lung injury
- ALP
alkaline phosphatase
- ALT
alanine aminotransferase
- AST
aspartate aminotransferase
- Bcl-2
B cell lymphoma 2
- CD68
cluster of differentiation 68
- COX-2
cyclooxygenase 2
- DMD
Duchenne muscular dystrophy
- EMSA
electrophoretic mobility shift assay
- eMyHC
embryonic myosin heavy chain
- GRMD
golden retriever muscular dystrophy
- GST
glutathione S-transferase
- HEK293
human embryonic kidney 293 cells
- i.p.
intraperitoneal
- IC50
half maximal inhibitory concentration
- IKK
IκB kinase
- IL-1
interleukin 1
- iNOS
inducible nitric oxide synthase
- JNK
c-Jun N-terminal kinase
- LPS
lipopolysaccharide
- LTβR
lymphotoxin β receptor
- MAPK
mitogen-activated protein kinase
- MEF
mouse embryonic fibroblast
- MTT
3-(4,5-dimethylthiazol-2-yl)-2,5-dephenyltetrazolium bromide
- n.d.
nondetectable
- NBD
NEMO-binding domain
- NEMO
NF-κB essential modulator
- NF-κB
nuclear factor κB
- NLS
nuclear localization sequence
- NO
nitric oxide
- Pax7
paired box protein 7
- PDB
Protein Data Bank
- p-JNK
phospho-c-Jun N-terminal kinase
- PTD
protein transduction domain
- PUMA
p53 up-regulated modulator of apoptosis
- qRT-PCR
quantitative real-time polymerase chain reaction
- RHD
Rel-homology domain
- RMSD
root-mean-square deviation
- SAR
structure–activity relationship
- SD
standard deviation
- TA
tibialis anterior
- TCR
T-cell receptor
- TNF-α
tumor necrosis factor α
- TRAF2
TNF receptor-associated factor 2
Data Availability
All relevant data are within the paper and its Supporting information files.
Funding Statement
The authors received no specific funding for this work.
References
- 1.Perkins ND. Integrating cell-signalling pathways with NF-kappaB and IKK function. Nature reviews Molecular cell biology. 2007;8(1):49–62. Epub 2006/12/22. 10.1038/nrm2083 . [DOI] [PubMed] [Google Scholar]
- 2.Zandi E, Rothwarf DM, Delhase M, Hayakawa M, Karin M. The IκB Kinase Complex (IKK) Contains Two Kinase Subunits, IKKα and IKKβ, Necessary for IκB Phosphorylation and NF-κB Activation. Cell. 1997;91(2):243–52. 10.1016/S0092-8674(00)80406-7. [DOI] [PubMed] [Google Scholar]
- 3.Yamaoka S, Courtois G, Bessia C, Whiteside ST, Weil R, Agou F, et al. Complementation cloning of NEMO, a component of the IκB kinase complex essential for NF-κB activation. Cell. 1998;93(7):1231–40. [DOI] [PubMed] [Google Scholar]
- 4.Rudolph D, Yeh W-C, Wakeham A, Rudolph B, Nallainathan D, Potter J, et al. Severe liver degeneration and lack of NF-κB activation in NEMO/IKKγ-deficient mice. Genes & Development. 2000;14(7):854–62. [PMC free article] [PubMed] [Google Scholar]
- 5.May MJ, D’Acquisto F, Madge LA, Glockner J, Pober JS, Ghosh S. Selective inhibition of NF-kappaB activation by a peptide that blocks the interaction of NEMO with the IkappaB kinase complex. Science. 2000;289(5484):1550–4. Epub 2000/09/01. . [DOI] [PubMed] [Google Scholar]
- 6.Kornegay JN, Peterson JM, Bogan DJ, Kline W, Bogan JR, Dow JL, et al. NBD delivery improves the disease phenotype of the golden retriever model of Duchenne muscular dystrophy. Skeletal muscle. 2014;4:18 Epub 2014/01/01. 10.1186/2044-5040-4-18 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Acharyya S, Villalta SA, Bakkar N, Bupha-Intr T, Janssen PM, Carathers M, et al. Interplay of IKK/NF-kappaB signaling in macrophages and myofibers promotes muscle degeneration in Duchenne muscular dystrophy. The Journal of clinical investigation. 2007;117(4):889–901. Epub 2007/03/24. 10.1172/JCI30556 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Reay DP, Yang M, Watchko JF, Daood M, O’Day TL, Rehman KK, et al. Systemic delivery of NEMO binding domain/IKKgamma inhibitory peptide to young mdx mice improves dystrophic skeletal muscle histopathology. Neurobiology of disease. 2011;43(3):598–608. Epub 2011/06/01. 10.1016/j.nbd.2011.05.008 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Davé SH, Tilstra JS, Matsuoka K, Li F, Karrasch T, Uno JK, et al. Amelioration of Chronic Murine Colitis by Peptide-Mediated Transduction of the IκB Kinase Inhibitor NEMO Binding Domain Peptide. The Journal of Immunology. 2007;179(11):7852–9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Tas S, Vervoordeldonk M, Hajji N, May M, Ghosh S, Tak P. Local treatment with the selective IkappaB kinase beta inhibitor NEMO-binding domain peptide ameliorates synovial inflammation. Arthritis Research & Therapy. 2006;8(4):R86. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Jimi E, Aoki K, Saito H, D’Acquisto F, May MJ, Nakamura I, et al. Selective inhibition of NF-kappa B blocks osteoclastogenesis and prevents inflammatory bone destruction in vivo. Nature medicine. 2004;10(6):617–24. Epub 2004/05/25. 10.1038/nm1054 . [DOI] [PubMed] [Google Scholar]
- 12.Ghosh A, Roy A, Liu X, Kordower JH, Mufson EJ, Hartley DM, et al. Selective inhibition of NF-κB activation prevents dopaminergic neuronal loss in a mouse model of Parkinson’s disease. Proceedings of the National Academy of Sciences. 2007;104(47):18754–9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Oguiza A, Recio C, Lazaro I, Mallavia B, Blanco J, Egido J, et al. Peptide-based inhibition of IκB kinase/nuclear factor-κB pathway protects against diabetes-associated nephropathy and atherosclerosis in a mouse model of type 1 diabetes. Diabetologia. 2015;58(7):1656–67. 10.1007/s00125-015-3596-6 [DOI] [PubMed] [Google Scholar]
- 14.Jimi E, Aoki K, Saito H, D’Acquisto F, May MJ, Nakamura I, et al. Selective inhibition of NF-[kappa]B blocks osteoclastogenesis and prevents inflammatory bone destruction in vivo. Nature medicine. 2004;10(6):617–24. http://www.nature.com/nm/journal/v10/n6/suppinfo/nm1054_S1.html. [DOI] [PubMed] [Google Scholar]
- 15.Ankermann T, Reisner A, Wiemann T, Krams M, Köhler H, Krause MF. Topical inhibition of nuclear factor-κB enhances reduction in lung edema by surfactant in a piglet model of airway lavage. Critical Care Medicine. 2005;33(6). [DOI] [PubMed] [Google Scholar]
- 16.Mora AL, LaVoy J, McKean M, Stecenko A, Brigham KL, Parker R, et al. Prevention of NF-κB activation in vivo by a cell-permeable NF-κB inhibitor peptide. American Journal of Physiology—Lung Cellular and Molecular Physiology. 2005;289(4):L536–L44. 10.1152/ajplung.00164.2005 [DOI] [PubMed] [Google Scholar]
- 17.Habineza Ndikuyeze G, Gaurnier-Hausser A, Patel R, Baldwin AS, May MJ, Flood P, et al. A phase I clinical trial of systemically delivered NEMO binding domain peptide in dogs with spontaneous activated B-cell like diffuse large B-cell lymphoma. PLoS oNE. 2014;9(5):e95404 Epub 2014/05/07. 10.1371/journal.pone.0095404 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Tilstra JS, Robinson AR, Wang J, Gregg SQ, Clauson CL, Reay DP, et al. NF-kappaB inhibition delays DNA damage-induced senescence and aging in mice. The Journal of clinical investigation. 2012;122(7):2601–12. Epub 2012/06/19. 10.1172/JCI45785 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Wallqvist A, Huang R, Thanki N, Covell DG. Evaluating chemical structure similarity as an indicator of cellular growth inhibition. Journal of chemical information and modeling. 2006;46(1):430–7. Epub 2006/01/24. 10.1021/ci0501544 . [DOI] [PubMed] [Google Scholar]
- 20.Martin YC, Kofron JL, Traphagen LM. Do structurally similar molecules have similar biological activity? Journal of medicinal chemistry. 2002;45(19):4350–8. Epub 2002/09/06. . [DOI] [PubMed] [Google Scholar]
- 21.Rushe M, Silvian L, Bixler S, Chen LL, Cheung A, Bowes S, et al. Structure of a NEMO/IKK-Associating Domain Reveals Architecture of the Interaction Site. Structure. 2008;16(5):798–808. 10.1016/j.str.2008.02.012. [DOI] [PubMed] [Google Scholar]
- 22.Wolber G, Dornhofer A, Langer T. Efficient overlay of small organic molecules using 3D pharmacophores. J Comput Aided Mol Des. 2006;20(12):773–88. 10.1007/s10822-006-9078-7 [DOI] [PubMed] [Google Scholar]
- 23.Wolber G, Langer T. LigandScout: 3-D pharmacophores derived from protein-bound ligands and their use as virtual screening filters. Journal of chemical information and modeling. 2005;45(1):160–9. Epub 2005/01/26. 10.1021/ci049885e . [DOI] [PubMed] [Google Scholar]
- 24.Jain A. Morphological similarity: A 3D molecular similarity method correlated with protein-ligand recognition. J Comput Aided Mol Des. 2000;14(2):199–213. 10.1023/A:1008100132405 [DOI] [PubMed] [Google Scholar]
- 25.Tilstra JS, Gaddy DF, Zhao J, Davé SH, Niedernhofer LJ, Plevy SE, et al. Pharmacologic IKK/NF-[kgr] B inhibition causes antigen presenting cells to undergo TNF [agr] dependent ROS-mediated programmed cell death. Scientific reports. 2014;4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Irwin JJ, Shoichet BK. ZINC—A Free Database of Commercially Available Compounds for Virtual Screening. Journal of chemical information and modeling. 2005;45(1):177–82. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.May MJ, Marienfeld RB, Ghosh S. Characterization of the IκB-kinase NEMO Binding Domain. Journal of Biological Chemistry. 2002;277(48):45992–6000. 10.1074/jbc.M206494200 [DOI] [PubMed] [Google Scholar]
- 28.Bulfield G, Siller WG, Wight PA, Moore KJ. X chromosome-linked muscular dystrophy (mdx) in the mouse. Proceedings of the National Academy of Sciences of the United States of America. 1984;81(4):1189–92. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Reay DP, Yang M, Watchko JF, Daood M, O’Day TL, Rehman KK, et al. Systemic delivery of NEMO binding domain/IKKγ inhibitory peptide to young mdx mice improves dystrophic skeletal muscle histopathology. Neurobiology of Disease. 2011;43(3):598–608. 10.1016/j.nbd.2011.05.008. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Acharyya S, Villalta SA, Bakkar N, Bupha-Intr T, Janssen PML, Carathers M, et al. Interplay of IKK/NF-κB signaling in macrophages and myofibers promotes muscle degeneration in Duchenne muscular dystrophy. The Journal of clinical investigation. 2007;117(4):889–901. 10.1172/JCI30556 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Mustata G, Li M, Zevola N, Bakan A, Zhang L, Epperly M, et al. Development of Small-Molecule PUMA Inhibitors for Mitigating Radiation-Induced Cell Death. Current topics in medicinal chemistry. 2011;11(3):281–90. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Golden MS, Cote SM, Sayeg M, Zerbe BS, Villar EA, Beglov D, et al. Comprehensive Experimental and Computational Analysis of Binding Energy Hot Spots at the NF-κB Essential Modulator (NEMO)/IKKβ Protein-Protein Interface. Journal of the American Chemical Society. 2013;135(16):6242–56. 10.1021/ja400914z [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Baima ET, Guzova JA, Mathialagan S, Nagiec EE, Hardy MM, Song LR, et al. Novel Insights into the Cellular Mechanisms of the Anti-inflammatory Effects of NF-κB Essential Modulator Binding Domain Peptides. Journal of Biological Chemistry. 2010;285(18):13498–506. 10.1074/jbc.M109.099895 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Cote SM, Gilmore TD, Shaffer R, Weber U, Bollam R, Golden MS, et al. Mutation of Nonessential Cysteines Shows That the NF-κB Essential Modulator Forms a Constitutive Noncovalent Dimer That Binds IκB Kinase-β with High Affinity. Biochemistry. 2013;52(51):9141–54. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Golden MS, Cote SM, Sayeg M, Zerbe BS, Villar EA, Beglov D, et al. Comprehensive Experimental and Computational Analysis of Binding Energy Hot Spots at the NF-κB Essential Modulator/IKKβ Protein–Protein Interface. Journal of the American Chemical Society. 2013;135(16):6242–56. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Solt LA, Madge LA, Orange JS, May MJ. Interleukin-1-induced NF-κB Activation Is NEMO-dependent but Does Not Require IKKβ. Journal of Biological Chemistry. 2007;282(12):8724–33. 10.1074/jbc.M609613200 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Macian F, Lopez-Rodriguez C, Rao A. Partners in transcription: NFAT and AP-1. Oncogene. 2001;20(19):2476–89. 10.1038/sj.onc.1204386 . [DOI] [PubMed] [Google Scholar]
- 38.Villalta SA, Nguyen HX, Deng B, Gotoh T, Tidball JG. Shifts in macrophage phenotypes and macrophage competition for arginine metabolism affect the severity of muscle pathology in muscular dystrophy. Human molecular genetics. 2009;18(3):482–96. 10.1093/hmg/ddn376 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Guttridge DC, Albanese C, Reuther JY, Pestell RG, Baldwin AS. NF-κB controls cell growth and differentiation through transcriptional regulation of cyclin D1. Molecular and cellular biology. 1999;19(8):5785–99. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Chang MR, He Y, Khan TM, Kuruvilla DS, Garcia-Ordonez R, Corzo CA, et al. Antiobesity Effect of a Small Molecule Repressor of RORγ. Molecular Pharmacology. 2015;88(1):48–56. 10.1124/mol.114.097485 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Delgado ER, Yang J, So J, Leimgruber S, Kahn M, Ishitani T, et al. Identification and Characterization of a Novel Small-Molecule Inhibitor of β-Catenin Signaling. The American journal of pathology. 2014;184(7):2111–22. 10.1016/j.ajpath.2014.04.002 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Wallqvist A, Huang R, Thanki N, Covell DG. Evaluating Chemical Structure Similarity as an Indicator of Cellular Growth Inhibition. Journal of Chemical Information and Modeling. 2006;46(1):430–7. 10.1021/ci0501544 [DOI] [PubMed] [Google Scholar]
- 43.Martin YC, Kofron JL, Traphagen LM. Do Structurally Similar Molecules Have Similar Biological Activity? Journal of medicinal chemistry. 2002;45(19):4350–8. 10.1021/jm020155c [DOI] [PubMed] [Google Scholar]
- 44.Jain AN. Morphological similarity: A 3D molecular similarity method correlated with protein-ligand recognition. J Comput Aided Mol Des. 2000;14(2):199–213. 10.1023/A:1008100132405 [DOI] [PubMed] [Google Scholar]
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